PurposeThis research seeks to simultaneously test the effect of attitude towards the behavior of following the “Stay at Home” policy, subjective norm, perceived behavioral control, perceived susceptibility and perceived severity on people's intention to follow the “Stay at Home” policy during COVID-19 pandemic.Design/methodology/approachThe data were collected through an online survey with 148 respondents in the Greater Area of Jakarta, Indonesia. The data were then analyzed using multiple regressions.FindingsThe findings show that attitude towards the behavior, subjective norm and perceived behavioral control positively and significantly affect intention to follow “Stay at Home” during the COVID-19 pandemic. However, perceived susceptibility and perceived severity of COVID-19 do not significantly influence the intention to follow “Stay at Home” during the COVID-19 pandemic.Research limitations/implicationsThis research was limited to the Greater Area of Jakarta, Indonesia. Furthermore, sampling was done through convenience sampling. Therefore, future research should be conducted in a different context to test the generalization of this research's findings.Practical implicationsTo encourage citizens' adherence to the stay-at-home policy during the COVID-19 pandemic, they must be directed to have positive attitudes toward the policy. Financial and non-financial supports are critical to ensure citizens' ability to sufficiently observe the policy sufficiently. Another important aspect is the influence of leaders and public figures to consistently call for obedience consistently.Originality/valueThis is the first research that studies citizens' behavior related to the “Stay at Home” policy requisitioned by the government to hinder the spread of COVID-19.

PurposeThis research aims to test the effects of attitude, perceived behavioral control (PBC), subjective norm and perceived quality of official coronavirus disease 2019 (COVID-19) websites on intention to use official COVID-19 websites.Design/methodology/approachThis study collected data using an online questionnaire. It involved 120 Indonesians who used official COVID-19 websites. The data were analyzed using the multiple regression analysis.FindingsThis research found that intention to use official COVID-19 websites is significantly and positively affected by the quality of the website, attitude and subjective norm. PBC does not influence intention to use official COVID-19 websites.Research limitations/implicationsThis research was only conducted in the context of Indonesians. Furthermore, a convenience sampling technique was applied. Future research should be done in a different context with larger samples to test the generalization of this research's findings.Practical implicationsTo improve intention to use official COVID-19 websites, people must be directed to have a positive attitude toward the website. The developer must ensure the quality of the website. It is also essential to involve leaders and public figures whose opinions might be able to sway citizens to use official COVID-19 websites consistently.Originality/valueThis research is the first one of its kind that studied citizens' intention to use official COVID-19 websites.

Successful implementation of Information Technology can be judged or predicted from the user acceptance. Technology acceptance model (TAM) is a model that is built to analyze and understand the factors that influence the acceptance of the use of technologies based on Keywords: TAM, Model, Testing, Validity, Factor AnalysisCopyright © 2017 Institute of Advanced Engineering and Science. All rights reserved. IntroductionTechnology acceptance model (TAM) studies have been used widely in the field of information systems or information technology (IS/IT) in order to obtain a more comprehensive perspective and a better explanation of the process of acceptance of technology on individuals [1]. TAM concept developed by Davis (1989) offers a simple yet powerful explanation related to technology acceptance and usage behavior [2]. In other words, TAM is a model that is built to analyze and understand the factors that influence the acceptance of the use of technologies based on the user's perspective. TAM model actually adopted from the model theory of reasoned action (TRA), namely the theory of reasoned action with the premise that a person's reaction and perception to something will determine the attitude and behavior of the person. Reactions and perceptions of users of information technology (IT) will affect his attitude in the acceptance of these technologies. TRA models adapted by Davis [2] to predict behavior and user acceptance of the technology and explain the factors that encourage the user.One of the factors that can influence it is the user's perception of the usefulness and ease of use of IT as an act that is reasonable in the context of technology users, so the reason someone in to see the benefits and ease of use of IT to make the action/behavior of people such as the benchmark in the reception a technology. In other words, IT usage behavior preceded by their perceptions of the benefits (perceived usefulness) and perceptions of the ease of use (perceived ease of use). Both of these components when associated with TRA are part of faith. Based on Davis [2], the level of IT utilization by the user will be largely determined by the level of user acceptance, while acceptance of the users themselves can be predicted from the perception of the benefits or "how beneficial the technology (to increase of productivity)" and perceived ease of use, or "how easily these technologies can used (less effort to use)". Both of these variables could explain the behavioral aspects of users of the technology. Thus through TAM, it can be seen why a technology that has been developed can be accepted or not by the user. Additionally TAM can answer questions from the many technology or systems failed in implementation. Measurement of user satisfaction is usually used in research where the use of information technology is mandatory or directed (must be).

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PurposeThis research investigates factors affecting the intention to sort waste. Specifically, this research aims to develop a waste-sorting intention model by extending the theory of planned behavior (TPB) model and to test the model to ensure the model's goodness-of-fit, validity and reliability.Design/methodology/approachThis research used a quantitative research methodology. Data were collected from 460 respondents using an online questionnaire. Some statistical analyses were performed to analyze the data: descriptive statistics, factor analysis, confirmatory factor analysis-structural equation modeling (CFA-SEM), SEM and Cronbach's alpha analysis.FindingsThe result shows that the intention to sort waste was directly affected by attitude, subjective norms, perceived behavioral control (PBC), moral obligation and facility support. Environmental concerns, waste-sorting knowledge and time availability indirectly influenced the intention to sort waste. The testing indicated that the proposed model was fit, valid and reliable.Practical implicationsThe model provides a more comprehensive understanding of waste-sorting intention. The central and local governments can use the results to encourage waste-sorting intention in the community.Originality/valueThis research is believed to be the first study to develop and test the waste-sorting intention model that extends the TPB model by incorporating moral obligation, facility support, policy and regulation support, environmental concerns, waste-sorting knowledge and time availability into the traditional TPB model.